{"id":"W2773415026","doi":"10.1007/s00414-017-1748-6","title":"Ancestry inference of 96 population samples using microhaplotypes","year":2017,"lang":"en","type":"article","venue":"International Journal of Legal Medicine","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Institute of Justice; Office of Justice Programs; Tel Aviv University; U.S. Department of Justice","keywords":"Haplotype; Biology; Locus (genetics); Genetics; Single-nucleotide polymorphism; Allele frequency; Population; Allele; Evolutionary biology; SNP; Massive parallel sequencing; Inference; DNA sequencing; Gene; Genotype; Computer science; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331519,0.00005686534,0.0001254009,0.0000629607,0.00004027871,0.00001853272,0.000407331,0.00004396684,0.00003163593],"category_scores_gemma":[0.0007665329,0.00004234685,0.00004580777,0.00001333798,0.0001975043,0.00001297916,0.00007272591,0.0000785542,4.66438e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001176819,"about_ca_system_score_gemma":0.00008096656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004792719,"about_ca_topic_score_gemma":0.00003442755,"domain_scores_codex":[0.9992154,0.00001957616,0.0002832329,0.00007368223,0.0003366389,0.00007152521],"domain_scores_gemma":[0.9988368,0.00001738141,0.0004273318,0.0001443986,0.0005304043,0.000043707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003138474,0.00003588961,0.187311,0.00001336508,0.0001572162,0.0000264781,0.00005474729,0.0002259573,0.7941278,0.0005903604,0.0007163706,0.01642692],"study_design_scores_gemma":[0.002373441,0.001184081,0.6870939,0.0006239436,0.00005273423,0.0004551042,0.0001689469,0.0003745993,0.2887367,0.001608716,0.01715564,0.0001722104],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945067,0.0005787059,0.002695734,0.001089451,0.0006565039,0.00002495522,0.000005594836,6.003747e-7,0.0004417193],"genre_scores_gemma":[0.9967983,0.0002401596,0.001770783,0.00005485033,0.001017931,1.923532e-7,0.00001061972,0.000004877362,0.0001022501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5053911,"threshold_uncertainty_score":0.1726854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0805519226579868,"score_gpt":0.4284013936756896,"score_spread":0.3478494710177028,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}